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Artificial Intelligence: A New Synthesis (The Morgan Kaufmann Series in Artificial Intelligence)
Artificial Intelligence: A New Synthesis (The Morgan Kaufmann Series in Artificial Intelligence)

Intelligent agents are employed as the central characters in this new introductory text. Beginning with elementary reactive agents, Nilsson gradually increases their cognitive horsepower to illustrate the most important and lasting ideas in AI. Neural networks, genetic programming, computer vision, heuristic search, knowledge representation and...

Object-Oriented Design Heuristics
Object-Oriented Design Heuristics
Upon completion of an object-oriented design, you are faced with a troubling question: "Is it good, bad, or somewhere in between?" Seasoned experts often answer this question by subjecting the design to a subconscious list of guidelines based on their years of experience. Experienced developer Arthur J. Riel has captured this elusive,...
Frontiers of Evolutionary Computation
Frontiers of Evolutionary Computation
This book is a collection of essays, authored by eminent scholars in evolutionary computation (EC), artificial intelligence (AI), operations research, complexity theory and mathematics. Each essay revolves around important, interesting and unresolved questions in the field of evolutionary computation....
RESTful Java Web Services
RESTful Java Web Services
If you are already familiar with REST theory but are new to RESTful Java web services, and want to use the Java technology stack together with Java RESTful frameworks to create robust web services, this is the book for you.

This book is a guide to developing RESTful web services using Java and the most popular RESTful frameworks
...
The Unknown Component Problem: Theory and Applications
The Unknown Component Problem: Theory and Applications

The Problem of the Unknown Component: Theory and Applications addresses the issue of designing a component that, combined with a known part of a system, conforms to an overall specification. The authors tackle this problem by solving abstract equations over a language. The most general solutions are studied when both synchronous and...

Principles of Sequencing and Scheduling
Principles of Sequencing and Scheduling

An up-to-date and comprehensive treatment of the fundamentals of scheduling theory, including recent advances and state-of-the-art topics

Principles of Sequencing and Scheduling strikes a unique balance between theory and practice, providing an accessible introduction to the concepts, methods, and results of scheduling theory and...

The Design of Approximation Algorithms
The Design of Approximation Algorithms

Discrete optimization problems are everywhere, from traditional operations research planning problems, such as scheduling, facility location, and network design; to computer science problems in databases; to advertising issues in viral marketing. Yet most such problems are NP-hard. Thus unless P = NP, there are no efficient algorithms to find...

Decomposition Techniques in Mathematical Programming: Engineering and Science Applications
Decomposition Techniques in Mathematical Programming: Engineering and Science Applications
This textbook for students and practitioners presents a practical approach to decomposition techniques in optimization. It provides an appropriate blend of theoretical background and practical applications in engineering and science, which makes the book interesting for practitioners, as well as engineering, operations research and applied...
Evolutionary Computation in Bioinformatics
Evolutionary Computation in Bioinformatics
Bioinformatics has never been as popular as it is today. The genomics revolution is generating so much data in such rapid succession that it has become difficult for biologists to decipher. In particular, there are many problems in biology that are too large to solve with standard methods. Researchers in evolutionary computation (EC) have turned...
Fundamentals of Complex Analysis  with Applications to Engineering,  Science, and Mathematics (3rd Edition)
Fundamentals of Complex Analysis with Applications to Engineering, Science, and Mathematics (3rd Edition)
This book provides a comprehensive introduction to complex variable theory and its applications to current engineering problems and is designed to make the fundamentals of the subject more easily accessible to readers who have little inclination to wade through the rigors of the axiomatic approach. Modeled after standard calculus books--both in...
Introduction to Probability Models, Tenth Edition
Introduction to Probability Models, Tenth Edition

Introduction to Probability Models, Tenth Edition, provides an introduction to elementary probability theory and stochastic processes. There are two approaches to the study of probability theory. One is heuristic and nonrigorous, and attempts to develop in students an intuitive feel for the subject that enables him or her to think...

Deadline Scheduling for Real-Time Systems - EDF and Related Algorithms
Deadline Scheduling for Real-Time Systems - EDF and Related Algorithms
Many real-time systems rely on static scheduling algorithms. This includes cyclic scheduling, rate monotonic scheduling and fixed schedules created by off-line scheduling techniques such as dynamic programming, heuristic search, and simulated annealing. However, for many real-time systems, static scheduling algorithms are quite restrictive and...
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